Dr. HYAM Ali PhD


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I am a dedicated researcher and proactive lecturer with a strong foundation in mathematical sciences and programming,
which has evolved into a passion for data science applied to biology and medical imaging. I am a data scientist with a
passion for transforming data into actionable insights. With over a decade of teaching experience in mathematics, I have
honed my skills in communication and problem-solving. I always enjoy tackling the questions and challenges that arise at
the intersection of practice, research, and teaching. My expertise lies in data analysis, image processing, machine learning,
deep learning and data visualization. I thrive in a dynamic environment where I can leverage my analytical skills to drive
decision-making and innovation.
Utilizing my mathematical and data science skills, I have successfully applied AI-driven solutions to real-world health
problems. I completed my PhD in the field of neglected tropical diseases, specifically Mycetoma, where I developed a novel
computational approach for the diagnosis of mycetoma using histopathological microscopic images. This project showcased
my expertise in both data science and biology. Throughout this project, I collaborated with interdisciplinary teams of
researchers which fostered my practical skills in bridging the gap between theory and applications as well as translating
research findings.
My diverse knowledge of mathematical expertise, teaching experience, and research in medical imaging positions me as
an ideal candidate for a data scientist role in healthcare and life sciences. Ultimately, I hope to become a recognized authority
in my profession with a trusted opinion to participate in building the global capacity of research practice, extend the
knowledge base, promote the adaptation of research skills and reshape science communication.
2022 Award, top posters in Deep learning INDABA.
2021 Fellowship and Grant, L’Oréal-UNESCO FOR WOMEN IN SCIENCE.

Grant, European Mathematical Society.

2018-2020 Grant for doctoral studies, the French embassy in Khartoum, Sudan.
2018 Youth Research Grant from the Sudanese Ministry of Higher Education.
2016 Prize for Hackathon for CoDAHMA, Ghana.
First Speaker prize at Toastmaster Club, Ghana.

2015 Master Card Foundation scholarship
2008 – 2013 Sudanese Government scholarship for undergraduate studies.

2018 – 2023

Ph.D. Degree in Mathematics
Orleans University, France.
Image Processing, Machine Learning and Deep Learning

2015 – 2016

Master’s Degree in Mathematical Sciences
African Institute for Mathematical Sciences (AIMS), Ghana.

2014 – 2015

Master’s Degree in Computer Science
Faculty of Mathematical Sciences, University of Khartoum, Sudan.
Software Engineering

2008 – 2013

Bachelor’s degree in Mathematical Sciences (Honour)
Faculty of Mathematical Sciences, University of Khartoum, Sudan.
Mathematics and Computer Science

Curriculum Vitae – Hyam Ali Page 2 / 3
Languages Arabic (native), English (fluent) and French (elementary)

Computer skills

Programming Language: Python, R, MATLAB, C++, Java, SQL, XQuery, VB.NET, JavaScript.
Mathematics: SageMath, Singular.
Tools: TensorFlow, PyTorch, Scikit-Learn, OpenCV.
Visualization: Matplotlib, Tableau, PowerBI.
Other: SPSS, Oracle database, MySQL, Microsoft, Latex.

2023 AFRICAI/MICCAI Summer School
2022 Deep Learning INDABA, Tunis, Tunisia.

Young Researchers Days, conference, Orleans, France

2020 Networks and Molecular Biology, workshop, CIRM, Marseille, France.
2019 Presentations and Communication Skills Workshop, MRC, Sudan.
Artificial Intelligence for the Image workshop, Paris, France.
2018 How to write a successful proposal and research grant, MRC, Sudan.

Software Carpentry Workshop as an INSTRUCTOR, University of Khartoum, Sudan.
2015 Conference of Computer Sciences and Information Technology, University of Khartoum.
2014 Latex for scientific writing workshop as an INSTRUCTOR, University of Khartoum, Sudan.
2021 Mycetoma Awareness and Advocacy (R).
2019 Investigating mycetoma recurrence of MRC patients (Python, R).
2019 – 2022 Mycetoma Computer-Aided Diagnosis (Python, MATLAB, TensorFlow, Scikit-Learn).
2017 Epilepsy Epidemiological Investigation (XQuery, Python, Java).
Library Management Application (SQL, XQuery, VB.NET).

2016 The popularity of the Weighted Capacity Allocation Problem (Python, MATLAB).

Brain Clustering Techniques (Python, Scikit-Learn).

2015 Building Formal Models for Capacity Problems (Java, SPSS, SQL).
2013 Image Encryption Through Secret Sharing (Java, VB.NET, SQL).

March 2018 –April 2023 Research Assistant, The Mycetoma Research Centre (MRC), Khartoum, Sudan
Nov 2017 – April 2023 Lecturer (Full-time), Faculty of Mathematical Sciences, University of Khartoum, Sudan.
Oct 2013 – Nov 2017 Teaching Assistant (full time), Faculty of Mathematical Sciences, University of Khartoum.
Jan 2021 – Nov. 2021 eLearning coordinator, Faculty of Mathematical Sciences, University of Khartoum, Sudan.
Nov 2017 – April 2023 Research office committee, University of Khartoum, Sudan.

Curriculum Vitae – Hyam Ali Page 3 / 3

Hyam Omar Ali, Lamis Yahia Mohamed Elkheir, Ahmed H. Fahal. The Use of Artificial
Intelligence to Improve Mycetoma Management. PLOS Neglected Tropical Diseases.


Hyam Omar Ali, Romain Abraham, Guillaume Desoubeaux, Ahmed H. Fahal, Clovis
Tauber. Evaluation of a computational model for Mycetoma causative agents. Transactions
of The Royal Society of Tropical Medicine and Hygiene. Accepted.
Hyam Omar Ali, Romain Abraham, Guillaume Desoubeaux, Ahmed H. Fahal, Clovis
Tauber. Mycetoma grain Segmentation in Histopathological Image using a modified version
of UNet Architecture. [Original article is in the final writing stages].
Hyam Omar Ali, Ahmed H. Faha. Why is Mycetoma still a public dilemma? Khartoum
Medical Journal (2022) Vol. 15, No. 03, pp 190-199.
El-Tigani Abdelsatir, Sahar Alhesseen, Hyam Ali, Afra Hashim. A Novel (K, N) Secret
Sharing Scheme from Quadratic Residues for Grayscale Images, International Journal of
Network Security & Its Applications, 2014.


Computational Diagnostic Method of the Organisms Causing Mycetoma Based on
Histology”. Deep Learning Indaba, Tunisia, Tunis, August 2022.
Development of Novel Automated Diagnostic Method for the Common Organisms Causing
Mycetoma Based on Histology Microscopic Images, L’Oréal-UNESCO FOR WOMEN IN
SCIENCE, Kigali, Rwanda, November 2021.
Mycetoma Grains Classification from Histopathological Microscopic Images, Biomedical
Research Day, Central region, France, December 2020.
Mathematical Model for the Diagnosis of the Common Organism Causing Mycetoma”. The
Sixth International Conference on Mycetoma, Sudan, Khartoum, February 2019.
Build Formal Models for Capacity Vehicles Routing Problem (Cvrp) Using Formal Methods,
Conference of Computer Sciences and Information Technology, Sudan, 2015.


Computational Diagnostic Method for Mycetoma Causative Agents Using Histopathological
Microscopic Images. Mycetoma Symposium, Sudan, Khartoum, November 2022.
Mathematical Model for the Diagnosis of the Common Organisms Causing Mycetoma,
Research Office, Faculty of Mathematical Science, University of Khartoum, March 2020.
Mycetoma Grains Quantitative features, Scientific meeting, The Mycetoma Research
Centre Khartoum, Sudan, January 2020.
Radiomics Models, INSERM, Tours, France. December 2019.
Brain Clustering Techniques Through Joint Laplacian Diagonalization, Kwame Nkrumah
University of Science and Technology, Kumasi, Ghana, March 2016.

Sept. 2016 – Sept. 2018 Undergraduate Projects Coordinator, Faculty of Mathematical Sciences, University of


July 2016 – Dec. 2016 Departments’ Secretary, Department of Pure Mathematics, Faculty of Mathematical

Sciences, University of Khartoum.

Avaliable upon request.